Visual Verification of Cancer Staging for Therapy Decision Support

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dc.contributor.authorCypko, Mario A.en_US
dc.contributor.authorWojdziak, Janen_US
dc.contributor.authorStoehr, Matthaeusen_US
dc.contributor.authorKirchner, Bettinaen_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.authorDietz, Andreasen_US
dc.contributor.authorLemke, Heinz U.en_US
dc.contributor.authorOeltze-Jafra, Steffenen_US
dc.contributor.editorHeer, Jeffrey and Ropinski, Timo and van Wijk, Jarkeen_US
dc.date.accessioned2017-06-12T05:22:24Z
dc.date.available2017-06-12T05:22:24Z
dc.date.issued2017
dc.description.abstractIt is generally accepted practice that each cancer patient case should be discussed in a clinical expert meeting, the so-called tumor board. A central role in finding the best therapy options for patients with solid tumors plays the Tumor, lymph Node, and Metastasis staging (TNM staging). Correctness of TNM staging has a significant impact on the therapy choice and hence on the patient's post-therapeutic quality of life or even survival. If inconsistencies in the TNM staging occur, possible explanations and solutions must be found based on the complex patient records, which takes the costly time of (multiple) physicians. We propose a more efficient visual analysis component, which supports a physician in verifying the given TNM staging before forwarding it to the tumor board. Our component comprises a Bayesian network model of the TNM staging process. Using information from the patient records and Bayesian inference, the models computes a patient-specific TNM staging, which is then explored and compared to the given staging by means of a graph-based visualization. Our component is implemented in a research prototype that supports an understanding of the model computations, allows for a fast identification of important influencing factors, and facilitates a quick detection of differences between two TNM stagings. We evaluated our component with five physicians, each studying 20 cases of laryngeal cancer.en_US
dc.description.number3
dc.description.sectionheadersBiomedical Visualization
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13172
dc.identifier.issn1467-8659
dc.identifier.pages109-120
dc.identifier.urihttps://doi.org/10.1111/cgf.13172
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13172
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.subjectApplications
dc.subject
dc.subjectJ.3 [Computer Applications]
dc.subjectLife and Medical Sciences
dc.subjectLife and Medical Sciences
dc.titleVisual Verification of Cancer Staging for Therapy Decision Supporten_US
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